Practical checklists, diagrams and references you can use immediately.
These resources condense the most useful parts of longer articles and projects into practical references for day-to-day engineering work.
Follow the Microsoft Fabric learning path →
An adaptable 6–8 week example plan that connects official Fabric certification objectives with hands-on practice, review, and exam readiness.
Use this example schedule to turn the current Microsoft skills outline into a personal checklist, practical build, troubleshooting practice, and an evidence-based exam-readiness decision.
A one-page troubleshooting reference for slow SQL Server workloads: ten steps from incident scope to measured change, with three diagnostic queries.
Narrow the symptom before changing anything: scope, active work, blocking, expensive queries, plans, statistics and indexes, history, large modifications, then one measured change. The full article explains the reasoning behind each step.
Downloadable, intentionally imperfect data for tutorials and practice.
A synthetic customer master dataset for practicing CSV ingestion, inspection, cleaning, filtering and joins with pandas.
A synthetic order dataset for practicing filters, aggregations, missing values, duplicate detection and multi-table pandas analysis.
A compact synthetic product catalog for pandas joins, margin calculations, category summaries and reference-data validation.
Synthetic clickstream-style events for practicing timestamp parsing, anonymous activity, funnels and customer behavior analysis with pandas.
Step-by-step references for investigations, deployments and design reviews.
A practical pre-run, read, transform, write and orchestration checklist for faster and more reliable Microsoft Fabric notebooks.
A production checklist for application, API, report engine, SQL, Fabric and data-quality monitoring.
What to check before, during and after promoting Microsoft Fabric items from Git to Test and Production.
Questions to answer before partitioning a Delta table, which columns tend to work, and the mistakes that make tables slower.
Diagrams and short guides that show how the pieces fit together.
Bronze, Silver and Gold on one page: what each layer is for, what belongs in it, and when fewer layers are enough.
A concise reference for report request validation, cache decisions, Fabric queries, asynchronous delivery and observability.
Questions and tradeoffs for choosing between options, based on the workload.
Seven questions for choosing between a Fabric Lakehouse and a Warehouse based on who writes the data, who reads it and how it is operated.